Staff Software Engineer, AI Agents Platform (Satori)

Proofpoint

Belfast City District

On-site

GBP 90,000 - 130,000

Full time

10 days ago
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Benefits offered by this job

Competitive compensation
Flexible work environment
Global collaboration

Job summary

Proofpoint is hiring a Staff Software Engineer for its Satori enterprise AI agent platform. The role focuses on architecting scalable agent runtimes and SDKs that power Proofpoint's security operations across products and partners.

You will work with product teams to ship robust, production-grade services and drive architectural decisions. The position demands strong Python, TypeScript/Node skills, cloud-native experience, and proven production delivery of agentic or LLM-based systems.

Qualifications

  • Requires strong Python and frontend/SDK experience.
  • Experience delivering agentic or LLM-based systems to production.
  • Proven ability to debug distributed systems and use tracing.
  • Relates well with cross‑functional teams and product leads.

Responsibilities

  • Architect the Satori platform to scale with product engineers as the primary users.
  • Design agent runtimes and SDKs that teams build on and define release criteria and safety checks.
  • Own deployment pipelines, observability, and rollout strategies for production services.
  • Collaborate with product tech leads to convert one‑off integrations into reusable platform capabilities.

Skills

Python
TypeScript/Node
Cloud-native
OpenTelemetry
Leadership
On-call
Communication

Education

BSc in CS or related

Tools

LangGraph
OpenAI/Anthropic SDK
MCP
LangChain
AWS

Job description

Proofpoint is hiring a Staff Software Engineer for its Satori enterprise AI agent platform. The role focuses on architecting scalable agent runtimes and SDKs that power Proofpoint's security operations across products and partners.

You will work with product teams to ship robust, production-grade services and drive architectural decisions. The position demands strong Python, TypeScript/Node skills, cloud-native experience, and proven production delivery of agentic or LLM-based systems.

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